gem5 gcn3 vega run database about gem5

[mattsinc]

@Yongze-zzz : I'm not sure I fully understand your question, but @abmerop put together instructions on installing GPUFS here: https://github.com/gem5/gem5-resources/blob/stable/src/x86-ubuntu-gpu-ml/BUILDING.md. I think this is what you are looking for?

[Yongze-zzz]

Running ./build.sh on my system produced the following problem：qemu.initialize: Error determining qemu version: exit status 1.

Then I try to run "qemu-system-x86_64 --version" ,it reported like below

[mattsinc]

@abmerop can you help with this? I am not an expert with your scripts yet.

[abmerop]

Do the other disk images also fail to build? I assume they would since this is a copy with additional packages. In that case it is not specific to gpu.

[Yongze-zzz]

Yes,abmerop is right. I tried running build.sh under x86-ubuntu and had the same problem. It seems that my qemu software is not a specific version, I have trouble finding a version that can support normal builds on my system.

[Yongze-zzz]

How to run gem5-gcn3-vega full system mode?

[abmerop]

There is a pre-built disk image that will be available on next release. You could try that on the develop branch. To do that you could try to follow the steps "To Reproduce" in this issue: #1195 .

[Yongze-zzz]

I run build/VEGA_X86/gem5.opt configs/example/gpufs/runfs.py --disk-image ../gem5-resources/src/x86-ubuntu-gpu-ml/disk-image/x86-ubuntu-gpu-ml --kernel ../gem5-resources/src/x86-ubuntu-gpu-ml/vmlinux-gpu-ml --gpu-mmio-trace ../gem5-resources/src/gpu-fs/vega_mmio.log. Than the system reports :panic: Need at least 2GB of system memory to load amdgpu module. My CPU is Intel 8360H and GPU is nvidia tesla t4. Does the simulator support to simulate amdgpu based on the nvidia physical device?

[abmerop]

No physical GPU is required, it is a simulated device.

I would recommend using the configs/example/gpufs/vega10_kvm.py helper script if you are on stable. If you are on the develop branch I would recommended using either configs/example/gpufs/mi200.py or configs/example/gpufs/mi300.py

Those helper scripts will set the memory size for you to avoid the error you are seeing. If you want to use runfs.py you'll have to add at least --mem-size=8GB or anything >2GB.